Ankit Hriday

• Architecting and building scalable data architecture
• Experience with AWS, create and Manage infrastructure in AWS using IAC(terraform), tools required include but not limited to VPCs, IAM, Transit Gateway, S3, EKS, ECR and AWS networking
• Development experience in languages like Golang, Python, and Node.js and the use of test driven development techniques.
• Work with and manage both relational and No-SQL databases, save various tables
• Work with Devops stack; Jenkins, Docker, Terraform, Kubernetes, etc
• Working with securing RESTful APIs and Apps using OAuth, OpenID Connect, and JWT.
• Experience with participating in projects in a highly collaborative, multi-discipline agile development team environment leveraging distributed code repository management tools like GIT
• Create and Manage Jenkins data pipelines
• Experience writing Jenkins pipelines and automating the process end to end
• Work in a highly agile environment delivering features on time and proactively manage and solve high risk areas
• Model Data using understanding of the application and data structure as a data engineer
• Made Unit Tests in Python faster by 300% increasing productivity and deliverable timeline

Working for Amtrak and then Nike

Amtrak
- Manage and Develop workloads for Quintiq on AWS environments
- Manage Load Balancers on the Frontend and Backend
- Maintain EC2 instances which served as servers for both front and backends
- Expertise in AWS including and not limited to EC2 instances, VPC, Cloudwatch, Cloudtrail, EMRs
- Shell and python scripting
- Deploy and maintain Jenkins pipelines for NodeJS applications using NPM
- Manage HTTP server for application hosting
- Host Jupyter notebook servers for data scientists
- Create and manage virtual environments for data scientists
- Dockerise the nodejs application and use compose for testing
- Manage Jenkins and use it for deployment

Nike

- Create a tool Pterradactyl which is now a open source, to manage AWS infrastructure using Terraform at its core, this enabled scalability with minimal management
- Work with NGAP team for maintaining EMRs, Airflows, DSTools environment for data science
- Use EMR for data science and support data science teams on using Jupyterhub on EMR
- Use Spark for data processing
- Manage AWS infrastructure using Terraform for the Lab222 team
- Work with AWS tools on EC2 instances, VPC, Cloudwatch, Cloudtrail, EMRs, EKS, ECR, Transit gateways, VPC, VPC endpoint, VPC endpoint services, Spark, Hadoop, Jenkins, ELBs and many more

- Design and implement EKS (kubernetes) based infrastructure to host and serve APIs generated from Data Science processes
- Design networking features needed for the NGAP team
- Experience with technologies like Spark, Kubernetes, Docker, Jenkins, Hive, Terraform, Helm

- Design and implement kubernetes controllers for the HyperFlow team(DevOps and Runtime under EAP) for cross account automation

- Implement HiveMetaStore access from Kubeflow

- Automate deployment of EKS and necessary components such as VPC, IAM, RBACs using terraform and helm

- Deploy and maintain about 40 EKS clusters using self designed automation processes

- Deploy and maintain ALB and nginx ingress controllers

- Deploy and maintain newrelic deployments

- Create and implement custom kubernetes controller for IAM automation in Kubeflow
- Manage VPC endpoints for the fulfillment application in the US EAST region and switch
to transit gateway
- Monitor applications using NewRelic
- Create Jenkins environment for CI/CD and develop custom Libraries for the same
- Create and Manage docker images using ECR and use EKS for containerization of application
- Manage EMR clusters with submitting jobs using spark, and help develop spark in Kubernetes for containerization of spark jobs
- Develop custom Kubernetes controller in a docker container automating creation of service accounts with namespace, using metacontrollers

CMS (through CVP Corp)

- Manage CI/CD Pipelines using Jenkins

- Manage Database clusters on AWS

- AWS to manage EC2, IAM, VPCs, SGs, EKS clusters

- Create and deploy Kubernetes Clusters on AWS and applications using Helm

- Use Terraform to manage the IAC for AWS stacks

- Deploy and manage EMR clusters for big data processing